The findings support a diagnostic rather than leaderboard interpretation: the apparent benefit of Arabic XTTS adaptation depends materially on the evaluation metric, checkpoint, and evaluator.
A modular and interpretable architecture for the development of a System for Adaptive and Explainable Feedback, which is a potential solution for the above-mentioned issues in personalized learning environments and supports the internal computational consistency of the recommendation pipeline as a proof-of-concept syst...
A hybrid deep learning architecture for patient-independent epileptic seizure identification that integrates a Hierarchical Temporal Separable Convolutional Network, a Dual-Stage Bidirectional Recurrent Neural Network, and a Multi-Head Attention Mechanism is proposed, enabling effective extraction of spatial, temporal,...
Khadija Slama, Ali Yahyaouy, J. Riffi et al.· Cognitive Neurodynamics· 0 citations
A hybrid framework that combines generative adversarial networks (GANs), convolutional neural networks (CNNs), and Vision Transformers (ViTs) for accurate tumor classification demonstrates the potential of advanced DL models to strengthen MRI-based tumor diagnosis and support more reliable clinical decision-making.
Iliass Zine-dine, J. Riffi, Khalid El Fazazy et al.· International Journal of Onl...· 0 citations
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